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Daniel Araújo 0001

Daniel de Araújo 0001 – Daniel S. A. de Araujo – Daniel Sabino Amorim de Araújo

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affiliation: Federal University of Rio Grande do Norte (UFRN), Digital Metropolis Institute (IMD), Natal, Brazil

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2020 – today

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2024
[j8]
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Ramiro de Vasconcelos dos Santos Junior, João Vitor Venceslau Coelho, Nelio Alessandro Azevedo Cacho, Daniel Sabino Amorim de Araújo:
A criminal macrocause classification model: An enhancement for violent crime analysis considering an unbalanced dataset. Expert Syst. Appl. 238(Part A): 121702 (2024)
[c22]
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Anne M. P. Canuto, Jhoseph Kelvin Lopes de Jesus, Daniel S. A. de Araujo:
Towards Total Dynamicity of a Feature Selection Method based on the Pareto Front. IJCNN 2024: 1-8
2023
[c21]
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Ramiro de Vasconcelos dos Santos Junior, João Vitor Venceslau Coelho, Nelio Alessandro Azevedo Cacho, Daniel Sabino Amorim de Araújo:
Analyzing Criminal Macrocauses on Intentional Lethal Violent Crimes: An Unsupervised Learning Approach for Smart City Initiatives. ISC2 2023: 1-7
2022
[c20]
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Wellerson V. Oliveira, Daniel S. A. de Araujo, Leonardo C. T. Bezerra:
Supermarket customer segmentation: a case study in a large Brazilian retail chain. CBI (1) 2022: 70-79
2021
[j7]
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Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
An exploratory analysis of data noisy scenarios in a Pareto-front based dynamic feature selection method. Appl. Soft Comput. 100: 106951 (2021)
[j6]
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Iaslan Silva, João Marcos do Valle, Gabriel Souza, Jaine Budke, Daniel Araújo, Bruno Carvalho, Nélio Cacho, Henrique Sales, Frederico Lopes, Rivaldo Silva Junior:
Using micro-services and artificial intelligence to analyze images in criminal evidences. Digit. Investig. 37 Supplement: 301197 (2021)
[c19]
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  - conf/csci/CabralSSSDCL021
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João Pedro Cabral, Vitor Gaboardi Dos Santos, Camila Souza, Alison Silva, Abraão Dantas, Nélio Cacho, Frederico Lopes, Daniel Araújo:
An Efficient CNN-based Approach for Automatic Brazilian License Plate Recognition. CSCI 2021: 1891-1894
[c18]
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  - conf/wf-iot/RochaCBA21
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Felipe Rocha, Everton Cavalcante, Thaís Batista, Daniel Araújo:
Evaluating Machine Learning Classifiers for Prediction in an IoT-based Smart Building System. WF-IoT 2021: 563-568
2020
[c17]
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  - conf/bigdataservice/ValleSFACSBSFLA20
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João Marcos do Valle, Gabriel Souza, Samuel Fidelis, Adelson Araujo, Nélio Cacho, Iaslan Silva, Jaine Budke, Henrique Sales, Max William Filgueira, Frederico Lopes, Daniel Araújo, Rivaldo Silva Junior:
Big Data Platform for Analysing Crime Evidences. BigDataService 2020: 113-119
[c16]
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João Marcos do Valle, Gabriel Souza, Nélio Cacho, Iaslan Silva, Jaine Budke, Henrique Sales, Frederico Lopes, Daniel Araújo, Rivaldo Silva:
Using Traces from IoT Devices to Solve Criminal Cases. WF-IoT 2020: 1-6

2010 – 2019

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2019
[j5]
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Bruno M. S. Wanderley, Daniel S. A. de Araujo, María V. Quiroga, André M. Amado, Adrião D. D. Neto, Hugo Sarmento, Sebastián D. Metz, Fernando Unrein:
flowDiv: a new pipeline for analyzing flow cytometric diversity. BMC Bioinform. 20(1): 274:1-274:10 (2019)
[c15]
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Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
Investigating the Robustness and Stability to Noisy Data of a Dynamic Feature Selection Method. BRACIS 2019: 180-185
2018
[c14]
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Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
Dynamic Feature Selection Based on Pareto Front Optimization. IJCNN 2018: 1-8
[c13]
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Diego Silveira Costa Nascimento, Danilo R. C. Bandeira, Anne M. P. Canuto, Daniel Araújo:
Investigating the Impact of Diversity in Ensembles of Multi-label Classifiers. IJCNN 2018: 1-8
2017
[c12]
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Jhoseph Jesus, Anne M. P. Canuto, Daniel Araújo:
A Feature Selection Approach Based on Information Theory for Classification Tasks. ICANN (2) 2017: 359-367
2016
[c11]
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Jhoseph Jesus, Daniel Araújo, Anne M. P. Canuto:
Fusion Approaches of Feature Selection Algorithms for Classification Problems. BRACIS 2016: 379-384
[c10]
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Daniel Araújo, Jhoseph Jesus, Adrião Duarte Dória Neto, Allan de M. Martins:
A Combination Method for Reducing Dimensionality in Large Datasets. ICANN (2) 2016: 388-397
[c9]
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Daniel Araújo, André Pimenta, Davide Carneiro, Paulo Novais:
Providing Wellness Services Using Real Time Analytics. ISAmI 2016: 167-175
[c8]
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Arthur Souza, Mickael Figueredo, Nélio Cacho, Daniel Araújo, Jazon Coelho, Carlos A. Prolo:
Social smart city: A platform to analyze social streams in smart city initiatives. ISC2 2016: 1-6
2013
[b1]
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Daniel Sabino Amorim de Araújo:
Análise de Agrupamentos Com Base na Teoria da Informação: Uma Abordagem Representativa. Federal University of Rio Grande do Norte, Brazil, 2013
[j4]
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Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins:
Information-theoretic clustering: A representative and evolutionary approach. Expert Syst. Appl. 40(10): 4190-4205 (2013)
[j3]
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Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins:
Representative cross information potential clustering. Pattern Recognit. Lett. 34(16): 2181-2191 (2013)
2012
[c7]
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Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins:
Comparative Study on Information Theoretic Clustering and Classical Clustering Algorithms. ICANN (2) 2012: 459-466
2011
[c6]
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Daniel de Araújo, Adrião Duarte Dória Neto, Allan de Medeiros Martins, Jorge Dantas de Melo:
Comparative study on dimension reduction techniques for cluster analysis of microarray data. IJCNN 2011: 1835-1842
2010
[c5]
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Daniel de Araújo, Adrião Duarte Dória Neto, Jorge Dantas de Melo, Allan de Medeiros Martins:
Clustering Using Elements of Information Theory. ICANN (3) 2010: 397-406

2000 – 2009

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2009
[j2]
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Katti Faceli, Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, André Carlos Ponce de Leon Ferreira de Carvalho:
Multi-objective clustering ensemble for gene expression data analysis. Neurocomputing 72(13-15): 2763-2774 (2009)
2008
[j1]
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  - journals/bmcbi/SoutoCALS08
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Marcílio Carlos Pereira de Souto, Ivan G. Costa, Daniel S. A. de Araujo, Teresa Bernarda Ludermir, Alexander Schliep:
Clustering cancer gene expression data: a comparative study. BMC Bioinform. 9 (2008)
[c4]
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Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Ivan G. Costa, Rodrigo G. F. Soares, Teresa Bernarda Ludermir, Alexander Schliep:
Comparative study on normalization procedures for cluster analysis of gene expression datasets. IJCNN 2008: 2792-2798
[c3]
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Marcílio Carlos Pereira de Souto, Ricardo Bastos Cavalcante Prudêncio, Rodrigo G. F. Soares, Daniel S. A. de Araujo, Ivan G. Costa, Teresa Bernarda Ludermir, Alexander Schliep:
Ranking and selecting clustering algorithms using a meta-learning approach. IJCNN 2008: 3729-3735
2006
[c2]
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  - conf/ijcnn/SoutoAS06
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Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, Bruno L. C. da Silva:
Cluster Ensemble for Gene Expression Microarray Data: Accuracy and Diversity. IJCNN 2006: 2174-2180
2005
[c1]
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  - conf/ausai/SilvaAPSS05
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Shirlly C. M. Silva, Daniel S. A. de Araujo, Raul Benites Paradeda, Valmar S. Severiano-Sobrinho, Marcílio Carlos Pereira de Souto:
Individual Clustering and Homogeneous Cluster Ensemble Approaches Applied to Gene Expression Data. Australian Conference on Artificial Intelligence 2005: 930-933

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